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This paper aims to study the effectiveness of using thermal spray (TS) coated bores in reducing friction under the mixed lubrication (ML) and elastohydrodynamic lubrication (EHL) regimes.

A reciprocating tribometer with a stroke length of 100 mm, was built to measure the coefficient of friction (COF) at the mid-stroke and ring reversal positions and to conduct sliding tests at a speed range of 0.31–3.14 m/s. Samples taken from fine-honed TS coated bores and also from cast iron (CI) liners that underwent a standard-honing process were tested against ring segments coated with chromium nitride (CrN) and diamond-like carbon.

Construction of Stribeck curves demonstrated that TS coatings showed a transition from ML to EHL at a lower speed (0.94 m/s) compared with CI (1.26 m/s) regardless of the counterfaces used. Lower COFs of 0.05–0.08 in ML was measured for TS coatings compared with those of 0.06–0.09 for CI in ML. Once EHL was reached, the COF of TS coatings decreased to 0.02–0.03 similar to those of CI. Examination of wear patterns suggested that the low roughness combined with high oil retention capability might be responsible for the reduced transition speed and the expanded EHL region for the TS coated surfaces.

With the EHL friction captured in a bidirectional sliding mode using a long-stroke tribometer, this work contributes to the understanding of the low-friction behaviour of TS coatings.

The paper aims to propose general design rules and route plan for automated guided vehicle system (AGVS). The AGVS is applied to automated meter verification areas through a case study of meter verification shop floor to verify the feasibility.

The paper gives an appropriate route design for AGVS and proposes an optimized strategy for designed routes and a control system to manage traffic conflict.

This case study indicates that the application of AGVS can highly improve the efficiency of manufacturing and production. Besides, a reasonable transportation plan is beneficial in making the system run smoothly and in cutting conveying time.

The application of AGVS integrates a variety of advanced technologies (i.e. information technology, artificial intelligence, etc.) into the electricity meter verification system, which brings great economic and social benefits via enhancing the verification efficiency and reducing the total labor costs.

The application proposed in the paper solves the problem that the verification almost relies on workers, labor intensity is high and work efficiency is hard to improve. Furthermore, the general rules and strategies of AGVS transportation can be applied not only to the automated electricity meter verification but also in other industrial areas.

The Romance of the Three Kingdoms (RTK) is probably the most popular classical novel in Chinese literature. Of more than 1,000 characters in this extensive, three‐volume novel, Kong Ming in RTK is widely seen by the Chinese as the most remarkable strategist. This paper attempts to develop a cognitive schema of Kong Ming on strategy.

First, the paper reviews broadly the traditionally, four most popular novels within the Chinese classical literature: The Romance of the Three Kingdoms, Water Margin, Journey to the West and A Dream of the Red Mansions. After emphasizing the role of the RTK in influencing Chinese strategic thinking, the paper utilizes the methods of textual analyses in research. Focusing on a specific episode of global strategy making and taking (Chapter 38), the methodology is explained.

From textual analysis, the paper presents as its finding a schematically linear, cognitive structure of the strategy process. It also presents the central role of the “Counselor of Strategy” in Chinese strategy making process. From this research, a Kong Ming‐grounded, cognitive model of strategy process is developed. If the RTK (more than say, any MBA program) continues to influence Chinese strategy processes, then fast strategic decision making (as exemplified in our analyses) may be one of the pivotal reasons for the equally fast rise of the Chinese economy in our global economic landscape.

Kong Ming (or Zhuge Liang) had been hailed by the Chinese with such lofty epithets such as the “Divine Strategist”. His exploits during the declining Han dynasty and emergence of the Three Kingdoms of Wei, Shu and Wu (220‐280 CE) are still cited by the Chinese people in their daily conversations on strategy. In this paper, we draw lessons for CEOs through a Kong Ming‐grounded model for strategy.

This study aims to clarify influencing factors of overcapacity of new energy enterprises in China and accurately predict whether these enterprises have overcapacity.

Based on relevant data including the experience and evidence from the capital market in China, the research establishes a generic univariate selection-comparative machine learning model to study relevant factors that affect overcapacity of new energy enterprises from five dimensions. These include the governmental intervention, market demand, corporate finance, corporate governance and corporate decision. Moreover, the bridging approach is used to strengthen findings from quantitative studies via the results from qualitative studies.

The authors' results show that the overcapacity of new energy enterprises in China is brought out by the combined effect of governmental intervention corporate governance and corporate decision. Governmental interventions increase the overcapacity risk of new energy enterprises mainly by distorting investment behaviors of enterprises. Corporate decision and corporate governance factors affect the overcapacity mainly by regulating the degree of overconfidence of the management team and the agency cost. Among the eight comparable integrated models, generic univariate selection-bagging exhibits the optimal comprehensive generalization performance and its area under the receiver operating characteristic curve Area under curve (AUC) accuracy precision and recall are 0.719, 0.960, 0.975 and 0.983, respectively.

The proposed integrated model analyzes causes and predicts presence of overcapacity of new energy enterprises to help governments to formulate appropriate strategies to deal with overcapacity and new energy enterprises to optimize resource allocation. Ten main features which affect the overcapacity of new energy enterprises in China are identified through generic univariate selection model. Through the bridging approach, the impact of the main features on the overcapacity of new energy enterprises and the mechanism of the influence are analyzed.

This paper is a study of the current trends and conditions of electronic resources for Chinese studies, based on a recent survey on the Internet of 29 Chinese libraries in North America and eight Chinese libraries in China, Taiwan and Hong Kong. The survey discussed current electronic resources for Chinese studies, with a union list of major Chinese language databases currently used in libraries in Asia and the US. Current views on the use and development of electronic resources for Chinese studies were summarised.

Constructing an effective production control policy is the most important issue in wafer fabrication factories. Most of researches focus on the input regulations of wafer fabrication. Although many of these policies have been proven to be effective for wafer fabrication manufacturing, in practical, there is a need to help operators decide which lots should be pulled in the right time and to develop a systematic way to alleviate the long queues at the bottleneck workstation. The purpose of this study is to construct a photolithography workstation dispatching rule (PADR). This dispatching rule considers several characteristics of wafer fabrication and influential factors. Then utilize the weights and threshold values to design a hierarchical priority rule. A simulation model is also constructed to demonstrate the effect of the PADR dispatching rule. The PADR performs better in throughput, yield rate, and mean cycle time than FIFO (First‐In‐First‐Out) and SPT (Shortest Process Time).

This paper aims to explore the impact of corporate social responsibility and hypocrisy on the relationship among psychological contract violation, trust and perceived betrayal.

This study used purposive sampling and selected students in Taiwan as the research participants. The theory of psychological contract violation and consumer awareness process in violation hypocrisy on psychological contract violation were used to investigate the effect of its impact on trust and perceived betrayal. Then, the moderating effect of social responsibility and hypocritical on trust, and the mediating effect of trust between psychological contract violation and perceived betrayal were analyzed.

The results indicated that hypocrisy had a significant and negative impact on psychological contract violation toward trust; hypocrisy had a significantly positive impact on psychological contract violation toward perceived betrayal; trust had a significantly negative impact on perceived betrayal; perceived betrayal had a significantly positive impact on both direct and indirect revenges; trust had a mediating effect between hypocrisy toward psychological contract violation and perceived betrayal; and higher hypocrisy would produce a stronger effect through trust on the relationships between hypocrisy toward psychological contract violation and perceived betrayal.

Perception of consumers would differ whenever there were failures of service recovery occurred; especially, stronger betrayal feeling would be perceived with the companies who emphasized social responsibility and did not carry out what they should do. Research results could be references for companies whom advertising and praising social responsibility.

The main purpose of this paper is to develop a method to recognize the initial welding position for large-diameter pipeline automatically, and introduce the image processing based on pulse-coupled neural network (PCNN) which is adopted by the proposed method.

In this paper, a passive vision sensor is designed to capture weld seam images in real time. The proposed method contains two steps. The first step is to detect the rough position of the weld seam, and the second step is to recognize one of the solder joints from the local image and extract its centroid, which is regarded as the initial welding position. In each step, image segmentation and removal of small false regions based on PCNN are adopted to obtain the object regions; then, the traditional image processing theory is used for the subsequent processing.

The experimental results show the feasibility and real time of the proposed method. Based on vision sensing technology and PCNN, it is able to achieve the autonomous recognition of initial welding position in large-diameter pipeline welding.

The proposed method can greatly shorten the time of positioning the initial welding position and satisfy the automatic welding for large-diameter pipeline.

In the proposed method, the image pre-processing is based on PCNN, which is more robust and flexible in the complex welding environment. After that, traditional image processing theory is adopted for the subsequent processing, of which the processing speed is faster.

This month's Stack is comprised of two books on complexity theory, two on IBM's Lou Gerstner, and an odd man out on straight strategy.